Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Numerosity Perception and Perceptual Load: Exploring Sex Differences Through Eye-Tracking.

Journal of eye movement research·2025
Same author

Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study.

JMIR human factors·2024
Same author

Energy Consumption Displays in Electric Vehicles: Differential Effects on Estimating Consumption and Experienced Energy Dynamics Awareness.

Human factors·2024
Same journal

Effects of Surface Texture and Color on the Visuo-Tactile Perception of Polyurethane Synthetic Leather for Automotive Seats.

Journal of eye movement research·2026
Same journal

Conventional Versus Virtual Reality-Based Hess-Lancaster Assessment: Agreement and Repeatability in Ocular Motility Evaluation.

Journal of eye movement research·2026
Same journal

Reading to Translate or Translating to Read? Modeling Translators' Eye Movements with Multilingual Pre-Trained Models.

Journal of eye movement research·2026
Same journal

Correlation Between Accommodative Facility and Light-Evoked Pupil Responses in Individuals with History of Mild Traumatic Brain Injury.

Journal of eye movement research·2026
Same journal

An Eye-Tracking and Forecasting Experiment on Consumer Purchasing Decisions Through Product Reviews.

Journal of eye movement research·2026
Same journal

Cognitive Mechanisms of Referential Ambiguity Resolution in L2 Russian by Chinese Learners: Evidence from Eye-Tracking.

Journal of eye movement research·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.9K

Comparing Eye-Tracking Metrics with the Driver Activity Load Index.

Julia Bend1, Markus Gödker2, Elise Sophie Banach3

  • 1Faculty of Human and Social Sciences, Åbo Akademi University, 20500 Turku, Finland.

Journal of Eye Movement Research
|March 24, 2026
PubMed
Summary
This summary is machine-generated.

This study found that the Driving Activity Load Index (DALI) scale effectively measures perceptual workload in driving by tracking visual complexity. Eye-tracking metrics complement DALI, confirming its sensitivity to perceptual strain.

Keywords:
DALIcognitive loaddrivingdriving simulatoreye trackinghuman factorsperceptual loadsituational complexitysubjective workload assessment

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.5K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.9K

Related Experiment Videos

Last Updated: Mar 25, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.9K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

1.5K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.9K

Area of Science:

  • Human Factors
  • Cognitive Psychology
  • Transportation Safety

Background:

  • Assessing driver workload is crucial for road safety.
  • Subjective ratings and objective eye-tracking metrics are common methods for workload assessment.
  • Understanding the distinct contributions of perceptual versus cognitive load is essential.

Purpose of the Study:

  • To investigate the relationship between subjective workload ratings (DALI scale) and objective eye-tracking measures.
  • To determine whether the DALI scale captures perceptual workload, cognitive workload, or both.
  • To validate eye-tracking metrics as indicators of perceptual and cognitive load during driving.

Main Methods:

  • Fifty participants completed driving simulations under varying complexity levels.
  • Eye-tracking data (fixations, blinks, pupil diameter) and subjective DALI scores were collected.
  • Statistical analyses examined correlations between DALI scores and eye-tracking parameters.

Main Results:

  • High-complexity driving scenes led to longer fixations, reduced blinking, and increased pupil dilation.
  • DALI scores correlated positively with scene complexity and negatively with fixation duration.
  • Eye-tracking metrics indicated elevated attentional demand, while DALI scores specifically reflected perceptual strain.

Conclusions:

  • The DALI scale is a sensitive instrument for measuring perceptual workload, particularly visual density.
  • Eye-movement measures provide complementary data, distinguishing between perceptual and cognitive load components.
  • Combining DALI and eye-tracking offers a comprehensive approach to understanding driver workload.